At Cashcrown, we build classification pipelines on your data: the model learns from real examples from your company, returns labels as structured output, and records the confidence level. Actions below the set threshold are routed to a queue with full context, so a human can decide in one click—no need to search for the original document.
PII is masked before sending to the model; sensitive data can be classified locally. We ensure human-oversight as an integral part of the process, not an optional add-on—especially where a mislabeled item could have legal or financial consequences.
